Senior Observability Engineer

At Verda, we're building a full-stack AI cloud, covering everything from data centers and hardware to our own cloud platform that the world's leading AI teams use to do serious AI work.

We strive to make a positive mark on the world through the infrastructure we build and give leading teams a service they can truly depend on. Headquartered in Helsinki, we operate globally with offices in London and San Francisco.

Join Verda while it's still being built - not once it's finished.

As a Senior Observability Engineer on our Observability Platform team, you will contribute to the architecture and development of our observability platform across bare-metal servers, virtual machines, Linux, Kubernetes, GPU clusters, network infrastructure, and cloud-native applications.

You will help translate architectural decisions into practical implementations and shared standards. A core part of your work will involve operating and improving our observability stack built on Grafana and tools from the Victoria Metrics and Prometheus ecosystems, improving incident detection and response, and developing AI-assisted monitoring capabilities.

Working closely with platform, SRE, infrastructure, network, security, application, and ML engineering teams, you will help integrate observability into how systems are designed and operated.

• Observability platform: Design, scale, and operate shared metrics, logs, and tracing services, covering infrastructure health and workload behavior.
• Git Ops & automation: Manage declarative Kubernetes deployments using Argo CD and Git Lab and Github CI/CD, and automate host and VM configuration using Ansible and Salt Stack.
• Infrastructure telemetry: Improve monitoring for bare-metal hardware, Linux, physical and overlay networks, and Kubernetes. Integrate telemetry from sources such as IPMI/Redfish, PDUs, SNMP, gNMI, and Net Flow/sFlow.
• GPU & AI workloads: Build telemetry pipelines and dashboards for GPU clusters, AI training runs, and inference services.
• Application telemetry: Help define shared standards for Open Telemetry instrumentation, context propagation, and Collector pipelines. Support teams instrumenting Go, Node.js, and Python services and APIs.
• Alerting & incident response: Build useful dashboards and alerts, improve notification workflows through Pager Duty, and participate in on‑call rotations. Work with other teams to reduce alert noise and shorten incident diagnosis and recovery.
• Shared practices: Document standards, help teams adopt them, and evaluate and develop AI‑assisted approaches to monitoring and incident investigation.

• Observability platforms: Strong hands‑on experience with Grafana and production telemetry systems, including Victoria Metrics and Victoria Logs or comparable metrics and logging backends.
• Infrastructure & distributed systems: Strong Linux fundamentals, production Kubernetes experience, and experience monitoring cloud‑native applications and distributed systems.
• Open Telemetry: Practical experience with instrumentation, metrics, traces, structured logs, trace context propagation, and Collector pipelines.
• Git Ops & automation: Experience with declarative deployments, CI/CD, and configuration management using tools such as Argo CD, Git Lab CI/CD, Ansible, and Salt Stack.
• Operations: Experience investigating production incidents, maintaining alerts, and sharing operational responsibilities within an engineering team.
• Cross‑team collaboration: Ability to explain technical decisions, guide teams, and support adoption of shared observability practices.

• Experience building and operating large‑scale observability systems across multiple data centers.
• Experience monitoring GPU clusters and AI/ML…